Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents.

Gray, Magnus; Xu, Joshua; Tong, Weida; Wu, Leihong

Gray, Magnus; Xu, Joshua; Tong, Weida; Wu, Leihong.

Afiliación

Gray M; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, United States Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079 United States.
Xu J; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, United States Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079 United States.
Tong W; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, United States Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079 United States.
Wu L; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, United States Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079 United States.

Chem Res Toxicol ; 36(8): 1290-1299, 2023 08 21.

Article en En | MEDLINE | ID: mdl-37487037

Asunto(s)

Inteligencia Artificial; Etiquetado de Medicamentos; Estados Unidos; Suministros de Energía Eléctrica; Etiquetado de Productos; United States Food and Drug Administration

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Etiquetado de Medicamentos Tipo de estudio: Prognostic_studies País/Región como asunto: America do norte Idioma: En Revista: Chem Res Toxicol Asunto de la revista: TOXICOLOGIA Año: 2023 Tipo del documento: Article

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